The Role of Information Extraction for Textual CBR

@inproceedings{Brninghaus2001TheRO,
  title={The Role of Information Extraction for Textual CBR},
  author={Stefanie Br{\"u}ninghaus and Kevin D. Ashley},
  booktitle={ICCBR},
  year={2001}
}
The benefits of CBR methods in domains where cases are text depend on the underlying text representation. Today, most TCBR approaches are limited to the degree that they are based on efficient, but weak IR methods. These do not allow for reasoning about the similarities between cases, which is mandatory for many CBR tasks beyond text retrieval, including adaptation or argumentation. In order to carry out more advanced CBR that compares complex cases in terms of abstract indexes, NLP methods are… CONTINUE READING

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